{"id":"W4416736918","doi":"10.1038/s41591-025-04061-3","title":"Determining the value of genomics in healthcare","year":2025,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Simon Fraser University; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; University of British Columbia; Hospital for Sick Children","funders":"","keywords":"Genomics; Health care; Value (mathematics); Reuse; Agile software development; Genomic sequencing; Personal genomics; Emerging technologies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04096317,0.0004850374,0.0007921567,0.002978482,0.001381126,0.009331931,0.001748123,0.003626105,0.006088841],"category_scores_gemma":[0.1617182,0.0004155871,0.0004878836,0.002001507,0.006493451,0.01084071,0.003480081,0.003969614,0.001053142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00656059,"about_ca_system_score_gemma":0.00909184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004453444,"about_ca_topic_score_gemma":0.005487869,"domain_scores_codex":[0.963112,0.02639004,0.001121548,0.0009405945,0.006832691,0.001603103],"domain_scores_gemma":[0.8215337,0.1484196,0.006532419,0.00522854,0.01205491,0.00623091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001125995,0.0004788232,0.2143333,0.00117504,0.0007453489,0.001134305,0.002822842,0.005505776,0.001138088,0.2025916,0.05236253,0.5165864],"study_design_scores_gemma":[0.0001833547,0.0006811244,0.09173782,0.004679876,0.0005259207,0.001785314,0.01460437,0.01157311,0.002724848,0.7449688,0.1263361,0.0001994493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.133734,0.04600968,0.01811727,0.6679202,0.001597015,0.0001395631,0.0009289895,0.0001352316,0.131418],"genre_scores_gemma":[0.9637694,0.0120166,0.006884389,0.01444748,0.001489883,0.00004818788,0.0001313463,0.00005399248,0.001158718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04096317,"threshold_uncertainty_score":0.2166365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003739867699430488,"score_gpt":0.2852151384667148,"score_spread":0.2814752707672843,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}